Poster: QueuePilot: Towards Adaptive Queue Scheduling via Live Digital Twins
Queue management policies strongly influence latency, loss, and fairness, yet production switches often rely on static configurations. Changing policies in the wild is risky, as experiments can disrupt SLAs and queue dynamics are hard to reproduce offline. We present QueuePilot, a digital twin for switch queues that enables safe, traffic-driven evaluation of scheduling and Active Queue Management (AQM) policies. Our prototype, built on two Tofino switches, clones live traffic into the twin, multiplexes it across multiple queueing strategies, and monitors real-time fine-grained metrics. Preliminary results show that QueuePilot can synchronize with the production queues and simultaneously evaluate alternative queuing policies, allowing precise real-time queue management without affecting live traffic.
Authors
- Fabricio Rodríguez (ORCID: https://orcid.org/0000-0003-1165-2808)
- Chrysa Papagianni (ORCID: https://orcid.org/0000-0002-2665-6492)
- Marcelo Caggiani Luizelli (ORCID: https://orcid.org/0000-0003-0537-3052)
- Francisco Germano Vogt (ORCID: https://orcid.org/0000-0003-1467-7146)
- Christian Esteve Rothenberg (ORCID: https://orcid.org/0000-0003-3109-4305)
- Victor H. S. Lopes (ORCID: https://orcid.org/0009-0003-2335-2973)
- Zhiheng Yang (ORCID: https://orcid.org/0009-0007-4624-4448)
Institutions
- Universidade Estadual de Campinas (UNICAMP) (BR)
- Telefonica Research and Development (ES)
- Amsterdam University of the Arts (NL)
- Universidade Federal do Pampa (BR)
- University of Amsterdam (NL)
Publication Details
- Published
- 2025-11-25
- DOI
- https://doi.org/10.1145/3765515.3771755
- Primary Topic
- Advanced Queuing Theory Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00